Comparing three different methods to detect selective loci using dominant markers.
J Evol Biol
; 23(10): 2267-2276, 2010 Oct.
Article
em En
| MEDLINE
| ID: mdl-20796133
ABSTRACT
We carried out a simulation study to compare the efficiency of three alternative programs (DFDIST, DETSELD and BAYESCAN) to detect loci under directional selection from genome-wide scans using dominant markers. We also evaluated the efficiency of correcting for multiple testing those methods that use a classical probability approach. Under a wide range of scenarios, we conclude that BAYESCAN appears to be more efficient than the other methods, detecting a usually high percentage of true selective loci as well as less than 1% of outliers (false positives) under a fully neutral model. In addition, the percentage of outliers detected by this software is always correlated with the true percentage of selective loci in the genome. Our results show, nevertheless, that false positives are common even with a combination of methods and multitest correction, suggesting that conclusions obtained from this approach should be taken with extreme caution.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Seleção Genética
/
Software
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Loci Gênicos
/
Genes Dominantes
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article